Your submission was sent successfully! Close

You have successfully unsubscribed! Close

Thank you for signing up for our newsletter!
In these regular emails you will find the latest updates about Ubuntu and upcoming events where you can meet our team.Close

Podcast: Data in AI

Hasmik Zmoyan

on 6 November 2023

Welcome to the 7th episode of Ubuntu AI podcast. Together with industry experts we’re discussing the topic of the year: AI.

From fun experiments to enterprise projects, AI became the center of attention when it comes to innovation, digital transformation and optimization.

Open source technologies democratized access to state-of-the-art machine learning tools and open doors for everyone . In this episode we have a special guest, together with whom we are discussing how the data in AI is being used and how you can make most of your data within organizations.

Open Source in modern software world.

For software, we’re at the point where it’s very clear that open source is one of the main pillars, if not the main pillar that the software world has been built on.

It has enabled crazy growth and tooling and enabled options for companies that are working in AI space.

We can see, that similar trends are already seen in Machine Learning. Even for LLMs and large cutting-edge models those are going to be based on open source: maybe customized, tailored in other ways for company needs.

Is there any movement in getting more open source data into universities and research institutions?

In world of software development the source is your code, in world of data and machine learning the source is code + data and data presents a lot of unique challenges.

One is the fact, that if you’re using data coming from real people and you might have PII (Personality identifying information) there will be a lot of sensitivity in that data. Companies are not willing to share it, even though they use open source, being considered as a business advantage.

But we are seeing a lot of open source data sets that are being released …

Should the data be static?

When you want to get to production, you realize that data is actually not static – it’s dynamic. You get data coming in all the time and that’s what helps you to improve your model over time.

Another thing that helps is when you;re subscribed to old data center AI. There are a lot of open source data sets. They are not dynamic enough yet, but there are told that enables community members to actually enable data.

Where to learn more about AI?

First, make sure to subscribe to our bi-weekly podcasts, where we are discussing AI. Listen to our podcasts on Spotify or Apple Podcasts.

If you want to learn more about the AI solutions we provide check our website and feel free to get in touch via contact forms or live chats here.

Talk to us today

Interested in running Ubuntu in your organisation?

Newsletter signup

Get the latest Ubuntu news and updates in your inbox.

By submitting this form, I confirm that I have read and agree to Canonical's Privacy Policy.

Related posts

Deploying Open Language Models on Ubuntu

Discover the benefits of using Ubuntu for open-source AI and how to seamlessly deploy models on Azure, including leveraging GPU and Confidential Compute capabilities.

Data Centre AI evolution: combining MAAS and NVIDIA smart NICs

It has been several years since Canonical committed to implementing support for NVIDIA smart NICs in our products. Among them, Canonical’s metal-as-a-service...

Empowering RISC-V with open source through Ubuntu

Canonical collaborates with partners to deliver optimised Ubuntu on RISC-V platforms, empowering innovation on RISC-V  Open source and global standards have a...